Triple
T24989817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T-10 |
E625414
|
entity |
| Predicate | numberRepresents |
P59495
|
FINISHED |
| Object | sequential station position on Tozai Line |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: sequential station position on Tozai Line | Statement: [T-10, numberRepresents, sequential station position on Tozai Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberRepresents Context triple: [T-10, numberRepresents, sequential station position on Tozai Line]
-
A.
numericPartRepresents
Indicates that a numeric component of something stands for or encodes a specific value, property, or aspect of that thing.
-
B.
numberDescribedAs
Indicates that a number is characterized, labeled, or referred to using a particular description or phrase.
-
C.
number
Indicates that one entity is associated with a specific numerical value or count in relation to another entity or context.
-
D.
representsDigitsOf
Indicates that one entity encodes or corresponds to the individual digits that make up the numeric value of another entity.
-
E.
lastNumberRepresents
chosen
Indicates that the final number in a sequence or identifier encodes or signifies a specific meaning, category, or attribute of that item.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e2ff2611c081908710457fbe6d376b |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 18, 2026, 6:03 a.m.